Our client is seeking an experienced Data Scientist to join their team remotely. The ideal candidate will have a strong background in data analytics, machine learning, and statistical modeling. This role involves analyzing large datasets, developing predictive models, and integrating data solutions with APIs to support business decision-making.

Key Responsibilities:

• Design and implement machine learning models and predictive analytics solutions.
• Analyze large and complex datasets to extract actionable insights.
• Develop and optimize data pipelines for efficient data processing.
• Perform exploratory data analysis (EDA) to identify trends and correlations.
• Work closely with stakeholders, engineers, and analysts to develop data-driven solutions.
• Develop, test, and deploy APIs to facilitate seamless integration of data models into applications.
• Create and maintain dashboards, reports, and visualizations for business users.
• Ensure data integrity, security, and compliance with best practices.
• Stay updated with the latest advancements in AI, machine learning, and data science.

Requirements:

• 5 – 10 years of experience in data science, analytics, or machine learning.
• Proficiency in Python, R, and SQL for data analysis and model development.
• Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
• Strong background in statistical modeling, data mining, and big data analysis.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP).
• Expertise in data visualization tools (Power BI, Tableau, or Matplotlib).
• Experience with APIs for integrating data models with applications and third-party services.
• Ability to work with structured and unstructured datasets.
• Strong problem-solving skills and ability to translate business problems into data solutions.
• Fluent in English (written and spoken) with excellent communication skills.
• Experience with NLP, deep learning, or AI techniques is a plus.

Qualifications:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.